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@@ -62,7 +62,7 @@ ClearML automatically tracks images logged to TensorboardLogger. They appear in
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## Ignite ClearMLLogger
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PyTorch Ignite also offers a dedicated `ClearMLLogger` handler to log metrics, text, model / optimizer parameters, plots, and model
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PyTorch Ignite also supports a dedicated `ClearMLLogger` handler to log metrics, text, model / optimizer parameters, plots, and model
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checkpoints during training and validation.
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For more information, see the [PyTorch Ignite ClearMLLogger](pytorch_ignite_mnist.md)
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@@ -5,7 +5,7 @@ title: PyTorch Ignite ClearMLLogger
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The `ignite` repository contains the [mnist_with_clearml_logger.py](https://github.com/pytorch/ignite/blob/master/examples/contrib/mnist/mnist_with_clearml_logger.py)
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example script that uses [ignite](https://github.com/pytorch/ignite) and integrates **ClearMLLogger** and its [helper handlers](https://pytorch.org/ignite/generated/ignite.contrib.handlers.clearml_logger.html).
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PyTorch Ignite offers a `ClearMLLogger` handler to log metrics, text, model / optimizer parameters, plots, and model
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PyTorch Ignite supports a `ClearMLLogger` handler to log metrics, text, model / optimizer parameters, plots, and model
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checkpoints during training and validation.
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The example script does the following:
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